In-order to analyse the distributed supply and storage of energy in decentralised clusters, Modelica has been used to model buildings with micro Combined Heat and Power (Âµ-CHP) systems as their primary heat energy source. The classification of the buildings involve generalising their size based attributes. Therefore, different buildings, appropriate Âµ-CHP systems used inside them, the components for heat and electrical energy storage as well as associated control systems are modelled. The output power of Âµ-CHP systems and the dimensions of the storage units are chosen corresponding to the building size to account for space heating, warm water demand and electrical energy storage requirements. The control strategy used is heat prioritised where the power generated is either used in-house or fed back into the grid. Following the modelling of components, decentralised storage potential is analysed using distributed Power-to-Heat (PtH) as a storage strategy. To store the electrical energy locally, battery models are integrated with a power interface system. As an initial part of analysing distributed storage potential, various house types with Âµ-CHP units are simulated with measured weather dependent boundary conditions. Subsequently, potential integration of distributed storage into a larger storage strategy involving the electrical grid and the gas grid is discussed where the Âµ-CHP units could act as an interface enabling a symbiotic relationship between the power grid and the gas grid.

Keywords: micro CHP; Energy storage; Power to Heat; Building simulation

Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Author:

Praseeth Prabhakaran, Wolfgang Koeppel, Frank Graf

Title:

Simulation of distributed energy storage in the residential sector and potential integration of gas based renewable energy technologies using Modelica

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